Estimation of flow properties using surface deformation and head data: A trajectory-based approach
A trajectory‐based algorithm provides an efficient and robust means to infer flow properties from surface deformation and head data. The algorithm is based upon the concept of an “arrival time” of a drawdown front, which is defined as the time corresponding to the maximum slope of the drawdown curve...
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description | A trajectory‐based algorithm provides an efficient and robust means to infer flow properties from surface deformation and head data. The algorithm is based upon the concept of an “arrival time” of a drawdown front, which is defined as the time corresponding to the maximum slope of the drawdown curve. The technique involves three steps: the inference of head changes as a function of position and time, the use of the estimated head changes to define arrival times, and the inversion of the arrival times for flow properties. Trajectories, computed from the output of a numerical simulator, are used to relate the drawdown arrival times to flow properties. The inversion algorithm is iterative, requiring one reservoir simulation for each iteration. The method is applied to data from a set of 14 tiltmeters, located at the Raymond Quarry field site in California. Using the technique, I am able to image a high‐conductivity channel which extends to the south of the pumping well. The presence of this permeable pathway is supported by an analysis of earlier cross‐well transient pressure test data. |
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W.</creator><creatorcontrib>Vasco, D. W. ; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)</creatorcontrib><description>A trajectory‐based algorithm provides an efficient and robust means to infer flow properties from surface deformation and head data. The algorithm is based upon the concept of an “arrival time” of a drawdown front, which is defined as the time corresponding to the maximum slope of the drawdown curve. The technique involves three steps: the inference of head changes as a function of position and time, the use of the estimated head changes to define arrival times, and the inversion of the arrival times for flow properties. Trajectories, computed from the output of a numerical simulator, are used to relate the drawdown arrival times to flow properties. The inversion algorithm is iterative, requiring one reservoir simulation for each iteration. The method is applied to data from a set of 14 tiltmeters, located at the Raymond Quarry field site in California. Using the technique, I am able to image a high‐conductivity channel which extends to the south of the pumping well. 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W.</creatorcontrib><creatorcontrib>Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)</creatorcontrib><title>Estimation of flow properties using surface deformation and head data: A trajectory-based approach</title><title>Water resources research</title><addtitle>Water Resour. Res</addtitle><description>A trajectory‐based algorithm provides an efficient and robust means to infer flow properties from surface deformation and head data. The algorithm is based upon the concept of an “arrival time” of a drawdown front, which is defined as the time corresponding to the maximum slope of the drawdown curve. The technique involves three steps: the inference of head changes as a function of position and time, the use of the estimated head changes to define arrival times, and the inversion of the arrival times for flow properties. Trajectories, computed from the output of a numerical simulator, are used to relate the drawdown arrival times to flow properties. The inversion algorithm is iterative, requiring one reservoir simulation for each iteration. The method is applied to data from a set of 14 tiltmeters, located at the Raymond Quarry field site in California. Using the technique, I am able to image a high‐conductivity channel which extends to the south of the pumping well. The presence of this permeable pathway is supported by an analysis of earlier cross‐well transient pressure test data.</description><subject>ALGORITHMS</subject><subject>CALIFORNIA</subject><subject>characterization</subject><subject>DEFORMATION</subject><subject>DRAWDOWN</subject><subject>GEOSCIENCES</subject><subject>head data</subject><subject>inversion</subject><subject>PUMPING</subject><subject>SIMULATION</subject><subject>tilt data</subject><subject>TRAJECTORIES</subject><subject>TRANSIENTS</subject><issn>0043-1397</issn><issn>1944-7973</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><recordid>eNp90D1vFDEQBmALgcQR6PgBpqFiwZ-xly46JQEp4uMAnURjzdpjbsNmfdg-hfv3ONoIUVG5mGfGMy8hzzl7zZno3wjG1HbDmBRGPCAr3ivVmd7Ih2TVKrLjsjePyZNSrhnjSp-aFRnOSx1voI5ppinSOKVbus9pj7mOWOihjPMPWg45gkcaMKZ8j2EOdIcQaIAKb-kZrRmu0deUj90ABQOFfRsEfveUPIowFXx2_56QbxfnX9fvuquPl-_XZ1cdKKltxxkz0VtjmJY994PliimrBAfoA2jjvRV-CIONBrnpwyD1AAqCjEJLjihPyItlbmonueLHin7n0zy3rZyVmhvRzMvFtNV-HbBUdzMWj9MEM6ZDcc0YoZRt8NUCfU6lZIxun1tO-eg4c3dhu3_Dblwu_Hac8Phf67ab9aYdK-8-6ZausVT8_bcL8k93aqTRbvvh0n3_pL-wtb1wn-UfPYCQIg</recordid><startdate>200410</startdate><enddate>200410</enddate><creator>Vasco, D. 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(LBNL), Berkeley, CA (United States)</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>OSTI.GOV</collection><jtitle>Water resources research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vasco, D. W.</au><aucorp>Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimation of flow properties using surface deformation and head data: A trajectory-based approach</atitle><jtitle>Water resources research</jtitle><addtitle>Water Resour. Res</addtitle><date>2004-10</date><risdate>2004</risdate><volume>40</volume><issue>10</issue><epage>n/a</epage><issn>0043-1397</issn><eissn>1944-7973</eissn><abstract>A trajectory‐based algorithm provides an efficient and robust means to infer flow properties from surface deformation and head data. The algorithm is based upon the concept of an “arrival time” of a drawdown front, which is defined as the time corresponding to the maximum slope of the drawdown curve. The technique involves three steps: the inference of head changes as a function of position and time, the use of the estimated head changes to define arrival times, and the inversion of the arrival times for flow properties. Trajectories, computed from the output of a numerical simulator, are used to relate the drawdown arrival times to flow properties. The inversion algorithm is iterative, requiring one reservoir simulation for each iteration. The method is applied to data from a set of 14 tiltmeters, located at the Raymond Quarry field site in California. Using the technique, I am able to image a high‐conductivity channel which extends to the south of the pumping well. The presence of this permeable pathway is supported by an analysis of earlier cross‐well transient pressure test data.</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1029/2004WR003272</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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source | Wiley Online Library Journals Frontfile Complete; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Wiley-Blackwell AGU Digital Library |
subjects | ALGORITHMS CALIFORNIA characterization DEFORMATION DRAWDOWN GEOSCIENCES head data inversion PUMPING SIMULATION tilt data TRAJECTORIES TRANSIENTS |
title | Estimation of flow properties using surface deformation and head data: A trajectory-based approach |
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